Suraj Rajendran
- Artificial Intelligence top 10%
- Public Health, Environmental and Occupational Health
- Health Informatics top 5%
- Pediatrics, Perinatology and Child Health
- Molecular Biology
- Co-authors
- Ümit TopaloĝluFei WangZhenxing XuPhilip AustinIman HajirasoulihaMarcos MeseguerKristie L. FoleyRalph B. D’Agostino
- Topics
- Machine Learning in Healthcare (4 papers)Privacy-Preserving Technologies in Data (4 papers)Artificial Intelligence in Healthcare (3 papers)
- Journals
- Nature CommunicationsSHILAP Revista de lepidopterologíaJournal of Medical Internet Research
- Partner nations
- United StatesIsraelSpain
In The Last Decade
Suraj Rajendran
17 papers receiving 223 citations
Peers
Comparison fields: 5 of 85
- Artificial Intelligence 107
- Public Health, Environmental and Occupational Health 49
- Health Informatics 39
- Pediatrics, Perinatology and Child Health 36
- Molecular Biology 25
Countries citing papers authored by Suraj Rajendran
This map shows the geographic impact of Suraj Rajendran's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Suraj Rajendran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suraj Rajendran more than expected).
Fields of papers citing papers by Suraj Rajendran
This network shows the impact of papers produced by Suraj Rajendran. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Suraj Rajendran. The network helps show where Suraj Rajendran may publish in the future.
Co-authorship network of co-authors of Suraj Rajendran
This figure shows the co-authorship network connecting the top 25 collaborators of Suraj Rajendran. A scholar is included among the top collaborators of Suraj Rajendran based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Suraj Rajendran. Suraj Rajendran is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 10 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 7 | |
| 8 | 12 | |
| 9 | 2 | |
| 10 | 15 | |
| 11 | 19 | |
| 12 | 10 | |
| 13 | 1 | |
| 14 | 2 | |
| 15 | 65 | |
| 16 | 26 | |
| 17 | 49 | |
| 18 | Extracting Smoking Status from Electronic Health Records Using NLP and Deep Learning. | 12 |
About Suraj Rajendran
Suraj Rajendran is a scholar working on Health Informatics, Health Information Management and Instrumentation, having authored 18 papers that have together received 235 indexed citations. Recurring topics across this work include Machine Learning in Healthcare (4 papers), Privacy-Preserving Technologies in Data (4 papers) and Artificial Intelligence in Healthcare (3 papers). The work is most often cited by research in Health Informatics (39 citations), Artificial Intelligence (107 citations) and Health Information Management (14 citations). Suraj Rajendran has collaborated with scholars based in United States, Israel and Spain. Frequent co-authors include Ümit Topaloĝlu, Fei Wang, Zhenxing Xu, Philip Austin, Iman Hajirasouliha, Marcos Meseguer, Kristie L. Foley, Ralph B. D’Agostino, Jonas Malmsten and Olivier Elemento. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and Journal of Medical Internet Research.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.